Bulletin of the American Meteorological Society · 2005 · 232 citations · 31 references
Natural SciencesEarth SciencesOceanographyClimatologyNumerical Weather PredictionPhysical OceanographyInfrared Remote SensingSatellite InstrumentationSatellite SensorsSea Surface TemperatureSurface Temperature RetrievalThermal Remote SensingMarine Numerical Weather PredictionNear-infrared ObservationsSatellite Sea Surface Temperature RetrievalsSea Surface Temperature AnomaliesSea Surface Temperature Remote SensingSea Surface Temperature RetrievalThermal Infrared Observations
Obtaining global sea surface temperature (SST) fields for the ocean boundary condition in numerical weather prediction (NWP) models and for climate research has long been problematic. Historically, such fields have been constructed by a blending of in situ observations from ships and buoys and satellite infrared observations from the Advanced Very High Resolution Radiometer (AVHRR) that has been operational on NOAA satellites since November 1981. The resolution of these global SST fields is limited by the sparse coverage of in situ observations in many areas of the World Ocean and cloud contamination of AVHRR observations, which can exceed 75% over the subpolar oceans. As clouds and aerosols are essentially transparent to microwave radiation, satellite microwave observations can greatly improve the sampling and resolution of global SST fields. The Advanced Microwave Scanning Radiometer on the NASA Earth Observing System (EOS) Aqua satellite (AMSR-E) is providing the first highly accurate and global satellite microwave observations of SST. The potential for AMSR-E observations to improve the sampling, resolution, and accuracy of SST fields for NWP and climate research is demonstrated from example SST fields and from an investigation of the sensitivity of NWP models to specification of the SST boundary condition.
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An Improved In Situ and Satellite SST Analysis for Climate
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Satellite Measurements Reveal Persistent Small-Scale Features in Ocean Winds
Dudley B. Chelton, Michael G. Schlax, Michael H. Freilich et al. · Science · 2004 · 894 citations